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Python Deep Learning - Second Edition
book

Python Deep Learning - Second Edition

by Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca
January 2019
Intermediate to advanced
386 pages
11h 13m
English
Packt Publishing
Content preview from Python Deep Learning - Second Edition

Language modeling

Language modeling is the task of computing the probability of a sequence of words. Language models are crucial to a lot of different applications, such as speech recognition, optical character recognition, machine translation, and spelling correction. For example, in American English, the two phrases wreck a nice beach and recognize speech are almost identical in pronunciation, but their respective meanings are completely different from each other. A good language model can distinguish which phrase is most likely to be correct, based on the context of the conversation. This section will provide an overview of word and character-level language models and how RNNs can be used to build them.

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Publisher Resources

ISBN: 9781789348460